Case Study

Global Investment Bank

Leading Investment Bank leverages the Starburst Query Engine to fight financial crime

One of the largest financial services institutions in the world deploys Starburst to detect money laundering with near-real time access to petabytes of data

With millions of customers and a presence in over 100 countries, this investment bank monitors hundreds of millions of transactions each day for suspicious activity. These transactions result in petabytes of data that need to be stored and easily accessed by the Anti-Money Laundering (AML) department. Because data resides in multiple warehouses across the world, access to data was challenging, costly, and time-consuming. With increasingly complex regulatory environments for banks and lengthy investigations due to data movement, the financial institution turned to Starburst to enable near real-time analytics for enhanced money laundering detection.

How Starburst Enterprise Benefits the Global Investment Bank

Cost Savings

Access to big data analytics speeds up the time to investigate each suspicious activity, significantly reducing costs in the AML department.

Enhanced Detection Models

Starburst accesses enormous amounts of historical and current data sets that feeds into the bank’s machine-learning models, resulting in more intelligent and accurate detection of suspicious activity.

Quicker Time-to-Insight

A single point of access to all data allows the investigation teams to access AML data in near-real time and across multiple data sources for timely and actionable insights.

I’ve talked to a lot of vendors over the last 18 years, and nothing came close to what Starburst can do. This is something we had been looking for some time and I’m very happy that we found Starburst.

Head of AML Technology, Leading Investment Bank

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